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An automatic system for dirt in pulp inspection using hierarchical image segmentation

1999; Elsevier BV; Volume: 37; Issue: 1-2 Linguagem: Inglês

10.1016/s0360-8352(99)00089-3

1879-0550

Filipe V. Duarte, Hélder Araújo, António Dourado,

Medical Image Segmentation Techniques

An automatic visual inspection system designed for dirt inspection in the pulp and paper industry is presented. A new hierarchical region oriented segmentation algorithm is introduced. The algorithm is tuned according to the singular characteristics of the pulp samples. A criterion based on the maximisation of the local contrast is defined in order to perform a defect region segmentation of the pulp and paper images. Some optimisations are introduced to avoid an excessive computational load.